Enhancing adversarial defense robustness through sensitive prediction region mining
Current adversarial defense methods often rely on specific perturbation generation techniques, which face challenges such as limited generalization performance and high computational costs. This paper addresses these issues by examining the response characteristics of intelligent learning models to sensitive adversaria...